Triple
T37542275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swarzewo |
E933359
|
entity |
| Predicate | distanceToPuck |
P205970
|
FINISHED |
| Object | approximately 7 km |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: approximately 7 km | Statement: [Swarzewo, distanceToPuck, approximately 7 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToPuck Context triple: [Swarzewo, distanceToPuck, approximately 7 km]
-
A.
distanceFromGoal
Indicates the measured or estimated separation between an entity’s current position and its intended goal or target state.
-
B.
distanceToCenterField
Indicates the measured distance from a given point or object to the center of a designated field or playing area.
-
C.
distanceFromCentre
Indicates the measured or specified distance of an entity from a defined central point.
-
D.
distanceFromBol
Indicates the measured distance between an entity and a specified beginning-of-line (BOL) reference point.
-
E.
distanceToSneek
Indicates the spatial distance between an entity and the location named Sneek.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76ec999288190ae26ec7b6aea7046 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a1553e08190bb7424c448cb1f33 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c842b2c819082f1d2db995ac2eb |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:17 p.m.